Abstract
The incidence of obesity and overweight has reached epidemic levels in the United States and developed countries worldwide. Even more alarming is the increasing prevalence of metabolic diseases in younger children and adolescents. Infants born to obese, overweight, and diabetic mothers (even when normal weight) have increased adiposity and are at increased risk of later metabolic disease. In addition to maternal glucose, hyperlipidemia and inflammation may contribute to the childhood obesity epidemic through fetal metabolic programming, the mechanisms of which are not well understood. Pregravid obesity, when combined with normal changes in maternal metabolism, may magnify increases in inflammation and blood lipids, which can have profound effects on the developing embryo and the fetus in utero. Fetal exposure to excess blood lipids, particularly saturated fatty acids, can activate proinflammatory pathways, which could impact substrate metabolism and mitochondrial function, as well as stem cell fate, all of which affect organ development and the response to the postnatal environment. Fetal and neonatal life are characterized by tremendous plasticity and the ability to respond to environmental factors (nutrients, oxygen, hormones) by altering gene expression levels via epigenetic modifications. Given that lipids act as both transcriptional activators and signaling molecules, excess fetal lipid exposure may regulate genes involved in lipid sensing and metabolism through epigenetic mechanisms. Epigenetic regulation of gene expression is characterized by covalent modifications to DNA and chromatin that alter gene expression independent of gene sequence. Epigenetic modifications can be maintained through positive and negative feedback loops, thereby creating stable changes in the expression of metabolic genes and their main transcriptional regulators. The purpose of this article is to review current literature on maternal-fetal lipid metabolism and maternal obesity outcomes and to suggest some potential mechanisms for fetal metabolic programming in key organ systems that regulate postnatal energy balance, with an emphasis on epigenetics and the intrauterine environment.
Keywords: nutrition, pregnancy, epigenetics, inflammation, diabetes, lipids
emergence of adult metabolic disease epidemics in children is an advancing public health concern, with childhood obesity, diabetes, cardiovascular disease, and nonalcoholic fatty liver disease (NAFLD) all increasing at alarming rates. While this is partially due to consumption of calorie-dense, nutrient-low foods (82), and sedentary behaviors (20, 21), an emerging body of evidence also suggests that the ability to respond to metabolic challenges during postnatal life may be linked to environmental influences during fetal development (14, 30, 32, 91, 93, 98, 144). The developmental origins of disease hypothesis originally posited by Barker and colleagues (7, 8) has led to extensive research in the effects of fetal undernutrition, low birth weight, and development of chronic metabolic disease in the offspring. However, less is known about the metabolic impact of fetal overnutrition, elevated birth weight, and excess adiposity in newborns. Epidemiological studies have revealed strong statistical links between nutritional excess during pregnancy and later development of diseases such as obesity and type 2 diabetes in adulthood. Most convincing are the studies in Pima Indians showing that, besides a genetic transmission of diabetes, exposure to the diabetic intrauterine milieu during pregnancy can also induce a 10-fold increase in the prevalence of diabetes by early adulthood, compared with offspring whose mothers did not develop diabetes until after delivery (43). While maternal hyperglycemia contributes to increased fetal growth and the development of metabolic disorders in offspring (111), recent work suggests that maternal pregravid weight and triglyceride (TG) levels may be a better correlate of excessive fetal growth (46, 59, 84, 85, 131) and, in particular, the development of the metabolic syndrome at age 6 years (14). These findings imply that maternal hyperlipidemia, inflammation, or other metabolic and dietary factors traditionally associated with obesity and the metabolic syndrome may be contributing to the childhood obesity epidemic and its associated metabolic disorders. The mechanisms, whereby maternal obesity and nutrient excess in utero impart increased risk for future metabolic disease, are poorly understood but likely include changes in fetal nutrient supply in combination with genetic and epigenetic mechanisms. The in utero environment can substantially modify how the fetal genome is expressed, which can exert stimulatory or inhibitory effects on fetal growth and adiposity. Recent work (63, 81) has shown that DNA methylation, histone modifications, and other epigenetic changes play crucial roles in many biological processes related to intrauterine development, such as gene expression, chromatin accessibility, DNA replication, imprinting, and human disease patterns. The functional significance of these epigenetic marks and their dynamic and complex interactions regulating gene expression are just beginning to be explored. The purpose of this article is to review current human and animal literature regarding maternal obesity and potential mechanisms for fetal metabolic programming with an emphasis on maternal-fetal lipid metabolism, epigenetics, and the role of the intrauterine environment.
Obesity, Inflammation, and Insulin Resistance in Nonpregnant Individuals: Fat on Fire
Obesity and pregnancy are independently associated with insulin resistance and inflammatory changes, which may be exacerbated when combined with one another. In the nonpregnant state, hypertrophic adipose tissue stores result in reduced uptake and storage of fatty acids along with increased lipolysis, inflammatory cell infiltration, and adipokine secretion (reviewed in Refs. 74 and 135). Markers of inflammation have been observed in both adipose tissue and liver of obese individuals and rodents, including TNF-α, chemokine receptor-2, monocyte chemotractant protein-1, toll-like receptor-4, and JNK. More than just a passive storage depot, adipocytes can synthesize, store, and secrete multiple proinflammatory cytokines, including IL-6, IL-8, TNF-α, and monocyte chemotractant protein-1 (44, 73, 139, 166), many of which play an important role in obesity-induced insulin resistance (reviewed in Refs. 74 and 135). However, the initiating steps in inflammation and the mechanisms linking it to insulin resistance are still being investigated.
In both humans and animal models of obesity, adipocyte expansion and hypertrophy are associated with an accumulation of adipose tissue macrophages with a proinflammatory phenotype. In the obese state, macrophages appear to become polarized toward a more M1 phenotype, whereas in lean animals the macrophage population expresses greater amounts of M2 markers (58). M1 macrophages are traditionally viewed as being more proinflammatory and are important for mounting an immune response, whereas M2 macrophages, or alternatively activated macrophages, are important for tissue repair, remodeling, and the resolution of inflammation. In inflamed, insulin-resistant adipose tissue, the antilipolytic effects of insulin are frequently diminished (35, 147), resulting in elevated levels of free fatty acids (FFAs). This has given rise to the expandability hypothesis, which postulates that limitations in adipose tissue expandability may govern when lipids are stored in adipose tissue vs. other tissues in the body (155). Inefficient storage of lipids in adipose tissue can suppress insulin sensitivity both locally and systemically. Locally, FFAs released by the adipocyte can produce a strong proinflammatory signal by binding toll-like receptors expressed on the cell surface of resident macrophages. Toll-like receptor signaling induces NF-κB (95, 100, 117, 140), a proinflammatory transcription factor, leading to perpetual adipose tissue inflammation and increased insulin resistance. Proinflammatory cytokines and FFAs released systemically can impact other important metabolic tissues, impairing whole body insulin sensitivity, and promoting disease progression (49).
Preventing the initial recruitment and activation of adipose tissue macrophages appears to be an important step in reducing the downstream consequences of obesity. Targeted deletion of specific inflammatory genes in bone marrow-derived macrophages disrupts the link between dietary/genetic obesity and insulin resistance (129, 149). It has been hypothesized that adipose tissue hypoxia and adipocyte cell death (3, 38) may play important roles in initiating macrophage recruitment; however, the exact stimulus has yet to be clarified. There is good evidence that weight loss (27, 40), diet and exercise (23), and treatment with insulin-sensitizing drugs (161) can reduce macrophage infiltration of adipose tissue and decrease expression of inflammatory markers. This leads to an overall improvement in whole body insulin sensitivity due to the reduction of proinflammatory cytokines and FFAs released systemically. Reducing adipose tissue inflammation may be an important therapeutic target to reduce the negative impact of obesity on maternal metabolism and ultimately control the type and level of nutrients available for fetal growth and overall development.
Maternal Obesity, Fuel Switching, and its Consequences for Fetal Nutrient Supply
Two-thirds of women in the United States are currently overweight or obese at the time of conception (28, 87, 163). Not surprisingly, the increasing prevalence of obesity in pregnant women has led to the suggestion that maternal obesity alone may be a more significant factor than maternal diabetes in perpetuating the overall obesity epidemic (79). Infants born to obese and/or diabetic mothers are often large for gestational age (defined as ≥90th percentile for gestational age), demonstrate increased adiposity at birth, and are at increased risk for developing obesity and metabolic syndrome in later life (14, 30, 45). While gestational diabetes mellitus (GDM) is a known risk factor for large-for-gestational-age and macrosomic (>4,000 g) births, the majority of large-for-gestational-age infants are born to mothers with normal glucose levels. In fact, maternal hyperglycemia only accounts for 25% of the differences in birth weight in multivariate models (97, 120), which suggests that factors other than maternal-fetal glucose may be important. Recent work has demonstrated that maternal prepregnancy body mass index and TG levels also play a significant role in mediating excessive fetal growth (46, 59, 84, 85, 89, 131, 132). In a prospective study of offspring born to women with either normal glucose tolerance or GDM, maternal body mass index was the strongest perinatal predictor for both overweight at 8 years of age and percentage body fat (30). Additionally, in multiple cohorts of GDM women with well-controlled glucose levels, elevated maternal fasting serum TG and FFAs were independently associated with increased birth weight and neonatal adiposity (46, 131).
During pregnancy, maternal metabolism undergoes profound adjustments to meet the nutrient needs of the developing fetus. Early in gestation (the first and early second trimester), maternal insulin sensitivity can actually increase modestly (94), leading to increased maternal adipose tissue lipid storage. During this time period, pregnant women are in an anabolic state and accumulate fat as a result of enhanced lipogenesis and increased adipose tissue lipoprotein lipase (LPL) activity, which hydrolyzes circulating TG for tissue uptake (25, 94), resulting in a 3.5–6.0 kilogram increase in fat stores (71). Lean women increase their fat stores more than obese women per kilogram body weight, which is likely due to higher insulin sensitivity in early pregnancy, which promotes lipid uptake and de novo lipogenesis (25, 51).
From mid- to late gestation, maternal lipid metabolism switches from an anabolic to a catabolic state concomitant with increasing maternal insulin resistance (31, 69). TG stored in adipocyte lipid droplets are hydrolyzed into FFAs through lipolysis (42), which is initiated by hormone-sensitive lipase and inhibited by insulin. The insulin-resistant state of the third trimester is reflected by a decrease in adipose tissue LPL activity and accelerated lipolysis, leading to high levels of circulating FFAs and glycerol, and a marked increase in hepatic very-low-density lipoprotein-TG (VLDL-TG) synthesis, which is further stimulated by the high estrogen levels of pregnancy (125). The signals responsible for this metabolic switch from lipid storage in early pregnancy to lipid mobilization in late gestation are not well understood; however, placental hormones that increase with advancing gestation and are known to induce maternal insulin resistance, may play a major role.
Lipid metabolism differs greatly between lean and obese pregnant women. In lean women, prospective longitudinal studies using hyperinsulinemic-euglycemic clamps and indirect calorimetry demonstrate net lipogenesis pregravid and in early pregnancy (12–14 wk) but net lipolysis in late gestation (34–36 wk). In contrast, in obese women under similar experimental conditions, lipogenesis occurs pregravid but less so in early pregnancy compared with lean women, with an earlier shift from the anabolic to catabolic state and a predominance of lipolysis (29). Additionally, a state of inflammation and hyperlipidemia may be present prior to pregnancy. Thus, hormones that have been shown in both human and animal models to promote the insulin resistance of pregnancy, such as placental growth hormone, human placental lactogen, leptin, and TNF-α (4–6, 56, 109), may also exacerbate the low-grade inflammation and insulin resistance of obesity (70), leading to greater mobilization of maternal fuel stores earlier in gestation.
Increased lipolysis in late pregnancy was traditionally thought to supply glycerol for maternal hepatic gluconeogenesis and FFAs for skeletal muscle β-oxidation, allowing glucose and amino acids to be preferentially directed toward the fetal-placental unit. However, recent data suggests that fetal-placental glucose and amino acid utilization rates are highest at 22–26 wk and decrease near term in contrast to lipid transport, which is maximal in the third trimester, coincident with rapid fetal fat accretion (67). Humans are born with the highest percent fat of any species (12–15%) and 90% of fat deposition occurs in the last 10 wk of pregnancy, exponentially increasing to 7 g/day near term (66, 67, 71, 136). Although fatty acids are not readily oxidized in the fetus, essential fatty acids are critical for normal development and the deposition of large amounts of body fat (50). The human placenta is capable of transporting FFA by diffusion and selectively increases the transport of essential fatty acids and their long-chain polyunsaturated fatty acid derivatives by fatty acid carrier proteins, thereby creating a higher concentration in the fetus than in the mother (65, 92). Furthermore, placental expression of lipoprotein receptors and receptor-related proteins allows maternal lipoproteins such as VLDL and dietary chylomicrons to be taken up by the placenta where they must be hydrolyzed by placental LPL (pLPL), or a second lesser-known placental TG hydrolase (50, 71). Additionally, the placenta expresses phospholipase A2 (PLA2) and other intracellular lipase activities to hydrolyze mono-, di-, and triacylglycerols to FFAs that can be utilized by the placenta or enter into fetal circulation. The activity of placental lipases, especially pLPL, increases from the first to the third trimester (43), again supporting an enhanced fetal need for maternal FFA in late gestation (Fig. 1).
Fig. 1.
Obesity and pregnancy are associated with insulin resistance and inflammatory changes that exacerbate in combination, increasing lipid transfer earlier in gestation. Obesity is associated with adipose tissue inflammation and systemic insulin resistance, resulting in increased adipose tissue lipolysis and hepatic very-low-density lipoprotein (VLDL) secretion. When combined with pregnancy, this leads to an increase in maternal circulating lipids with advancing gestation. Subsequent hydrolysis of maternal triglycerides (TGs) by placental lipoprotein lipase (LPL) and increased free fatty acid (FFA) uptake and transport by the placenta results in excess lipid transfer to the developing fetus. This increase in fetal lipid exposure may impact the liver, skeletal muscle, adipose tissue, brain, and pancreas to increase the risk for metabolic disease in childhood. MCP-1, monocyte chemotractant protein-1; CM, chylomicron; NAFLD, nonalcoholic liver disease.
It has been shown that high levels of TG in maternal circulation may create a steep concentration gradient across the placenta, which accelerates their transport and deposition in fetal tissues (133). Therefore, the hypertriglyceridemia facilitated by the insulin resistance of obese and diabetic mothers are potential factors to enhance substrate availability to the fetus. Interestingly, in women with well-controlled GDM, third trimester FFAs and TGs were better predictors of neonatal fat mass than glucose (131). This corresponds with recent data, which demonstrates that 67% of the changes in placental gene expression in women with gestational or type 1 diabetes relates to lipid transport pathways and only 9% to glucose transport pathways (124). In term human trophoblasts, insulin and fatty acids have been shown to enhance the expression of adipophilin, which is associated with cellular lipid droplets and implicated in cellular fatty acid uptake and storage of neutral lipids (53). Additionally, higher circulating levels of insulin may serve to upregulate placental proteins involved in lipid transport, thereby increasing availability of fatty acids to both the placenta and the fetus. Consistent with this concept, placental LPL activity has been shown to be stimulated by hyperinsulinemic and hyperglycemic conditions, thus increasing hydrolysis of maternal lipoproteins for transport across the placenta (105).
Interestingly, maternal obesity appears to affect the placenta much as it does adipose tissue, in that placentas from obese mothers have been shown to have increased expression of proinflammatory cytokines and a marked accumulation of a heterogeneous macrophage population (33). Additionally, placentas from obese (body fat >16%) compared with lean (body fat <8%) neonates demonstrated a significant increase in expression of the PLA2 genes PLA2G2A and PLA2G5 (the main placenta phospholipases) as well as leptin and TNF-α (154). How this might impact placental function is not well established; however, activation of phospholipase activity suggests inflammation may be one mechanism by which excess fat accumulates in obese neonates. Further, IL-6 and TNF-α are thought to be involved in regulation of fetal growth via modulation of expression and activity of the system A but not L amino acid transporter (83).
In conclusion, fetal lipid supply is regulated by maternal circulating concentrations and by the extent to which they are transported by the placenta. Clearly, maternal obesity can directly impact fetal lipid exposure. However, the mechanisms by which this can alter fetal and later offspring development are still unknown. The ability of lipids to activate cell signaling pathways and serve as ligands for nuclear receptors suggests that aberrant lipid exposure in utero could potentially lead to the alternative regulation of multiple gene expression programs.
Epigenetics and Programming of Fetal Metabolism
The emerging field of epigenetics is recognized to have an important but still poorly defined role in fetal metabolic programming. While epigenetic mechanisms have been explored in the context of embryonic development and cancer biology, little has been done to explore their contribution to metabolic diseases. It is well established that poor maternal health affects fetal gene expression; however, the precise mechanism by which differences in nutrient exposure can alter epigenetic programs is not known. Epigenetic regulation of gene expression is characterized by covalent modifications to DNA and chromatin that alter gene expression independent of gene sequence. Epigenetic modifications lead to long-standing changes in gene expression through the complex coordination of multiple binding proteins and enzymes that interact with each other through positive and negative feedback loops, eventually resulting in the stable alteration of chromatin structure (reviewed in Ref. 80). Changes in epigenetic marks are associated with multiple human diseases, including many cancers, neurological disorders, and even inflammation (reviewed in Refs. 134, 148, and 110, respectively). Given the important role of epigenetic programming during embryonic development and organogenesis and the highly plastic nature of such processes, it follows that alterations to the in utero environment could have powerful epigenetic consequences. Epigenetic alterations typically involve DNA methylation and posttranslational histone modifications. Additionally, microRNAs are emerging as a potential third epigenetic mechanism. While these noncoding RNAs are traditionally associated with regulation of gene expression at the translational level, recent work suggests they may be involved in DNA methylation as well, thereby regulating further transcription of their targets (10, 86).
DNA methylation patterns are largely established during embryogenesis and early postnatal life, and are important for promoting the silencing of specific gene regions, such as imprinted genes and repetitive nucleic acid sequences. The DNA of the early embryo is hypomethylated, and later organogenesis and tissue differentiation is traditionally associated with progressive increases in DNA methylation in response to environmental signals (reviewed in Ref. 11). DNA methylation typically occurs on cytosine bases that are followed by a guanine, termed CpG dinucleotides. The covalent attachment of a methyl group by a DNA methyl-transferase leads to recruitment of methyl-CpG binding proteins, which induce transcriptional silencing both by blocking transcription factor binding and by recruiting transcriptional corepressors or histone-modifying complexes, thereby promoting the formation of heterochromatin (reviewed in Refs. 80 and 127). Aberrant DNA methylation in traditionally hypomethylated CpG-rich regions of gene promoters, termed CpG islands (reviewed in Ref. 78), has been associated with inappropriate gene silencing and is known to occur in many cancers (reviewed in Ref. 9). However, a subset of CpG islands have been shown to be alternatively methylated in healthy cells during normal tissue differentiation (62, 77). Previous studies have demonstrated that prenatal conditions, such as growth and nutrient restriction, can epigenetically modify gene expression by altering the methylation level of DNA in gene promoter regions (24, 102, 146, 151, and reviewed in Ref. 37). Importantly, this demonstrates that mechanisms are present in utero to respond to nutritional, hormonal, or other metabolic cues by altering the timing and direction of methylation events during fetal development. Less is known regarding alternative DNA methylation in the case of fetal overnutrition; however, recent work in a mouse model suggests a role for both DNA methylation and microRNA regulation of MeCP2 in the alternative expression of IGF-2 in fetal livers from high-fat fed dams (170).
Differential packaging of chromatin into open (euchromatic) or closed (heterochromatic) states is another important mechanism of gene expression and silencing, respectively. Chromatin consists of DNA packaged around histones into a nucleo-protein complex. Posttranslational modification of histone tail residues, including acetylation, methylation, phosphorylation, ubiquitination, and sumoylation, can change the way histones interact with the DNA, as well as recruit other proteins responsible for altering chromatin conformation (reviewed in Refs. 26 and 61). For example, histone tail acetylation by histone acetyl-transferases promotes an open chromatin conformation and is associated with regions of active gene expression, while histone tail deacetylation by histone deacetylases (HDACs) promotes a closed chromatin conformation and is associated with gene silencing. Histone modifications and DNA methylation patterns are not mutually independent, and it is believed that both can play roles in regulating the other's state (36). Indeed, epigenetic regulation of pancreatic Pdx1 in a rodent model of growth-restricted pregnancy was the result of coordinated histone deacetylation in utero and, later, methylation of the Pdx1 promoter region in adulthood (122). Growth restriction has been shown to alter histone marks of metabolism-related genes in the offspring, including IGF-1 (57) and Glut-4 (101). Additionally, in a primate model of maternal high-fat diet, fetal livers demonstrated significantly increased site-specific histone acetylation, which corresponded with gene expression changes (2), suggesting an important role for histone modifications in addition to DNA methylation in fetal epigenetic programming (Fig. 2).
Fig. 2.
General example of epigenetic regulation of gene transcription. Epigenetic regulation of gene expression is characterized by stable changes to DNA and chromatin structure that alter gene expression independent of gene sequence. The primary forms of epigenetic control involve DNA methylation by DNA methyl-transferase (DNMTs), and histone tail modifications, such as acetylation/deacetylation, by histone acetyl-transferase (HAT) and histone deacetylase (HDAC) activities, respectively. Additionally, microRNAs have recently been shown to regulate DNA methylation as well. Histone tail acetylation promotes an open-chromatin conformation, and is associated with regions of active gene expression, while histone tail deacetylation promotes a closed-chromatin conformation and is associated with gene silencing. DNA methylation of cytosine guanine (CpG) dinucleotides in the 5′ promoter region of genes generally induces transcriptional silencing, both by blocking transcription factor binding and by promoting the recruitment of transcriptional corepressors or histone-modifying complexes. MeBP, methyl-CpG binding protein; TF, transcription factor; Pol II, DNA polymerase II.
The key challenge in fetal programming research is not only the identification of these epigenetic modifications, but also identification and characterization of specific combinatorial gene expression patterns. Studies in this area are inherently difficult to perform in human subjects. Therefore, the majority of current research has focused on animal models. While interspecies differences, particularly during the establishment of pregnancy and fetal development, have their inherent caveats, the ability to control maternal diet and examine comprehensive outcomes at different developmental stages may further our understanding of the impact of maternal obesity on fetal and offspring development.
Potential Mechanisms for Fetal Metabolic Programming by Maternal Lipids
Previous studies of maternal obesity and high-fat diet in animal models provide evidence of multiple metabolic abnormalities in the fetus, neonate, and adult offspring (52, 64, 108, 137, 158). These include increased adult body weight and fat mass, reduced insulin sensitivity, increased blood glucose and cholesterol levels, increased blood pressure, reduced muscle mass, and increased lipid deposition in the fetal and adult liver. These results are supportive of an early metabolic or a potential epigenetic programming event, but lack a direct gene regulatory pathway. In utero exposure to excess maternal lipids could impact a number of pathways in developing organs, such as the liver, which is the first to see the majority of postplacental nutrients, as well as other key metabolic organs, such as the skeletal muscle, adipose tissue, brain, and pancreas. Lipids and their pro- or anti-inflammatory derivatives can serve as transcriptional activators of multiple nuclear receptors, including the liver X receptor (LXR) and peroxisome proliferator-acitvated receptor (PPAR) families. Interestingly, the main genetic regulators of lipid metabolism are themselves regulated by lipid exposure, as well as by inflammatory cues (39). In the case of LXR, maternal intake of an LXR agonist led to fetal hepatic LXR activation, resulting in increased fetal liver lipogenesis (108, 152, 153). In utero exposure to excess maternal lipids could impact a number of gene pathways of metabolic importance, including those for energy storage, oxidation, growth, death, differentiation, and inflammation. A number of these pathways will be reviewed below.
In rodents, a maternal high-fat diet results in persistent lipid accumulation in adult offspring livers, even in the absence of postweaning high-fat diet exposure (20, 38), suggesting a more permanent programming effect by maternal diet. Development of NAFLD in humans is associated with increased expression of genes in de novo lipogenesis, such as SREBP1c, ACC, FAS, SCD1, and LXRα (47, 160), as well as a decrease in expression of genes associated with hepatic fatty acid oxidation such as PPARα, CPT-1, and mitochondrial matrix proteins (160). In a rodent model, offspring from high-fat fed dams demonstrated both impaired hepatic mitochondrial metabolism and enhanced lipogenic gene expression concomitant with the development of NAFLD (22). Interestingly, in a mouse model of nutrient restriction, hepatic genes involved in lipid metabolism were again found to be increased in newborn offspring (115), suggesting that early regulatory events in utero are particularly sensitive to nutrient availability. Finally, both fetal nutrient restriction and nutrient excess have been shown to increase hepatic gluconeogenic pathways, mainly through increased gene expression of phosphoenolpyruvate carboxykinase and glucose-6-phosphatase gene expression (104, 108, 118). The offspring from both groups demonstrate increased fasting glucose levels (64, 108, 137, 158); however, frequently there is a pancreatic beta cell defect in insulin secretion that reinforces excess hepatic glucose output.
In looking for early origins of insulin resistance, there are a number of potential pathways that dampen the insulin signaling cascade, attenuating insulin action in liver, skeletal muscle, and adipose tissue. In the canonical pathway, insulin binding stimulates autophosphorylation of the insulin receptor, allowing insulin receptor substrates (IRS-1, IRS-2) to dock (reviewed in Refs. 41 and 143). Docking and subsequent IRS-1/IRS-2 tyrosine phosphorylation is necessary for stimulating glucose uptake in muscle and adipose tissue, and suppression of hepatic glucose output in liver. Increased IRS-1 serine phosphorylation is one of the primary mechanisms associated with inhibition of insulin signaling. Circulating FFAs, particularly saturated fats, intracellular fatty acid intermediates (diacylglycerol, acyl-COAs, or ceramides), and proinflammatory cytokines, can all activate serine kinases known to target IRS-1. These include (but are not limited to) JNK, p38, ERK, aPKCs, p70S6K, IKKβ, and, most recently, MAP4K4 (16, 18, 48). Studies in sheep and primate models of maternal overnutrition have found increased expression of inflammation-related genes and activation of pJNK and p38 in fetal muscle and liver (162, 103). In humans, umbilical cord blood samples obtained from obese mothers showed increased HOMA-IR (an index of fetal insulin resistance), which was associated with increased fetal adiposity and leptin levels relative to lean control mothers (32). Together, these data suggest a potentially important role for inflammation in the early origins of insulin resistance, but the molecular basis for this has yet to be defined.
In addition to insulin resistance, increased lipid deposition in muscle and liver can lead to mitochondrial dysfunction and an impaired ability to oxidize fatty acids due to an increase in reactive oxygen species production and consequent oxidative stress (15, 164). Indeed, skeletal muscle from obese patients shows increased expression and activity of the lipogenic enzyme SCD1, concomitant with a partitioning of fatty acids toward esterification and storage, rather than oxidation (75). Additionally, gene profiling of skeletal muscle from both diabetic and lean first-degree relatives of diabetic patients shows a decreased expression of genes associated with fatty acid β-oxidation, including the PPARα coactivator PGC1α, and mitochondrial genes involved in oxidative phosphorylation (113, 123). Whether early exposure to excess lipids results in an accumulation of fatty acid intermediates, reduced fatty acid oxidation, and/or mitochondrial inflexibility has yet to be investigated in fetal tissues. Currently, very little is known about the control of fatty acid oxidation in fetal mitochondria. There is some evidence that mitochondrial dysfunction precedes insulin resistance and hepatic steatosis and may contribute to the natural history of NAFLD in an obese rodent model (126). Moreover, a recent report in mice demonstrated that maternal diet-induced obesity increases mitochondrial reactive oxygen species and oxidative stress in both mouse oocytes and zygotes (76). This study suggests that maternal obesity can potentially increase oocyte and zygote mitochondrial potential, DNA content, and biogenesis. Consequently, generation of reactive oxygen species was raised, while glutathione was depleted, and thus the redox state became more oxidized, suggestive of oxidative stress. Furthermore, reports have shown that periconceptual exposure to high-energy substrates, such as fatty acids (156) and proteins (112), results in perturbed oocyte and embryo mitochondrial metabolism, and studies in vitro support this idea that low-level acquired mitochondrial injuries may persist into embryonic life (106, 145). Since mitochondria are affected by maternal nutritional status and are passed on maternally, it suggests that mitochondrial injury due to maternal obesity could compromise metabolism in the developing fetus and may even impact fetal mitochondrial function prior to conception.
In addition to promoting TG storage and impairing oxidation at the cellular level, increased fetal lipids may favor formation of adipocytes over myocytes or other cell types during early organogenesis. In a sheep model of maternal overnutrition, fetal skeletal muscle at day 60 (out of 142 days of gestation) showed small, but significantly reduced, fiber numbers and increased intramuscular adipocyte numbers (162). These changes were associated with increased NF-κB activation, decreased AMPK signaling (an activator of lipid oxidation), and increased PPARγ expression (a key adipogenic transcription factor) (171). Maternal overnutrition has also been shown to increase fetal adipose tissue expression of PPARγ, leptin, and adiponectin, suggesting enhanced adipogenesis (116). The use of thiazolidines (PPARγ agonists) greatly improves insulin sensitivity by promoting adipocyte lipid storage and reducing levels of circulating FFAs (141). However, early activation of PPARγ or its downstream targets could promote the storage of excess lipids at the expense of oxidative pathways, thereby increasing the risk of developing obesity in cases of nutrient excess. In a recent mouse study, maternal exposure to PPARγ-agonists led to induction of fetal mesenchymal stem cells along the adipocyte lineage, and a reduction in the osteogenic potential in these cells, resulting in greater fat mass in adult offspring (88). The role of stem cell precursor programming in metabolic disease pathways in response to maternal nutrient supply is an area ripe for investigation.
Maternal obesity and high-fat diet also appear to profoundly alter offspring feeding behavior. Epidemiologic studies have demonstrated that maternal macronutrient intake correlates well with offspring macronutrient intake at 10 years of age, both in terms of composition and total caloric energy (19). Interestingly, the strongest correlation was with maternal prenatal diet not postnatal diet, and the strongest predictor of offspring fat mass was fat intake, rather than protein or carbohydrate. Studies in animal models suggest that maternal obesity and high-fat diet consumption lead to adaptive regulation of key genes in neuronal pathways associated with appetite (reviewed in Ref. 101). The hypothalamus is an important regulator of appetite and satiety (reviewed in Ref. 17), where leptin receptor binding activates proopiomelanocortin neurons and anorexigenic downstream pathways. Obesity is often associated with leptin resistance, resulting in an inability to balance food intake with actual energy needs. The leptin pathway is counterregulated by the orexigenic neuropeptide-Y (NPY). Impaired leptin signaling could result in increased expression of NPY, which would promote increased nutrient intake, while decreasing overall physical activity. In a rodent model, maternal high-fat diet led to increased proliferation of orexigenic neurons in the fetus, which closely correlated with circulating fetal lipids (34). In another study (102), offspring from high-fat fed mothers weaned onto a high-fat diet demonstrated increased weight gain, visceral fat deposition, energy intake, and circulating leptin levels. Interestingly, hypothalamic expression of the leptin receptor proopiomelanocortin and NPY were all significantly higher than in the control groups, suggesting an overall defect in the leptin signaling pathway, given the inability of elevated leptin to downregulate NPY (121). Alternatively, in a sheep model of maternal overnutrition, 20 day-old lambs showed an inverse correlation between hypothalamic leptin pathway gene expression and overall adiposity, demonstrating a disconnect between peripheral signals and central sensors of nutrient homeostasis (116). More recently, chronic consumption of a high-fat diet during pregnancy has been shown to cause perturbations in the serotonergic system, and increase anxiety-like behavior in nonhuman primate offspring (142), together with a reduction in the melanocortin pathway in the fetal brain (12). This data suggests that maternal high-fat diet has profound effects on fetal brain development, and may impact behaviors beyond appetite control, which warrant further investigation.
Finally, reduced beta cell growth and insulin secretion have been observed in cases of growth restriction (103, 128, 165), while accelerated beta cell mass and excess insulin secretion was observed in models of obese pregnancy (55). Though apparently opposite, both can lead to later islet cell failure and development of diabetes. The beta cell transcription factor pancreatic duodenal homeobox-1 (Pdx-1) is critical for beta cell development, and progressive silencing of Pdx-1 expression has been observed in beta cells isolated from growth-restricted rodent models (122). Importantly, this silencing corresponded with altered epigenetic regulation of the Pdx-1 gene, which carried through into adulthood. Additionally, increased circulating lipids can induce beta cell apoptosis via endoplasmic reticulum stress pathways (99). Interestingly, Pdx1 is protective against pancreatic endoplasmic reticulum stress in response to high-fat feeding in rodents (130). While obese pregnancy can increase pancreatic fat deposition in rodent models (119), whether this in turn leads to permanent changes in gene expression as observed with growth-restricted pregnancies remains unknown.
It should be noted that results from programming studies in both human and animal models often show gender specificity in the degree and type of metabolic alteration observed across tissues and species (52, 54, 107, 121, 167, 168). For example, the expression of diabetes in a number of animal models is sexually dimorphic and has been associated with altered hepatic metabolism. In a rat model of maternal protein restriction and intrauterine growth restriction, only male offspring demonstrated increased incidence of type 2 diabetes with altered hepatic enzyme profiles, including increased phosphoenolpyruvate carboxykinase activity (96). Similarly, perturbations induced by bilateral uterine artery ligation in the rat can induce intrauterine growth restriction, and these animals undergo a period of normalcy, followed by a male-specific alteration in hepatic fatty acid metabolism and gene expression that contributes to adult dyslipidemia (13). In addition to a gender-specific effect, an additional caveat with many of these studies is that metabolic programming has global and measured effects across multiple organs. Adult offspring of streptozocin-induced, moderately diabetic mothers have a deficient beta cell response to glucose stimulation, whereas adult offspring from severely diabetic mothers are insulin resistant (1, 150). When female offspring from these two groups become pregnant, they develop GDM and their fetuses display the same biochemical phenotypes found in the first generation. This transmission occurred only in females of diabetic mothers, suggesting that epigenetic factors, or perhaps an estrogenic environment, may be involved. In addition, the adult offspring of streptozotocin diabetic mothers are not only insulin resistant but also glucose intolerant, indicating that transmission of hyperglycemia may also occur as a result of exposure to maternal diabetes in utero (72). The potential cellular and molecular mechanisms underlying these changes remain unclear. Thus, it becomes difficult to assign the early origins of these disease pathways to a single maternal nutrient and a single organ when examining animal models, particularly during postnatal life. This argues strongly for studies in both genetically defined mice and in large animal models, with an emphasis on maternal and fetal analyses, when looking for early origins of disease.
Given the multiple metabolic gene pathways that may be targeted by excess fetal lipid exposure, the inevitable next question is how do we reverse the program? While epigenetic marks are more plastic during early developmental windows and are traditionally maintained with differentiation, they are still inherently dynamic. Because of this, treatments designed to alter DNA methyl-transferase, histone acetyl-transferase, and HDAC activity are currently being investigated for their utility in correcting epigenetic dysregulation (60). For example, inhibitors of HDAC activity have been shown to promote tumor cell apoptosis (138). In terms of fetal programming, supplementation with folate or choline can promote DNA methylation as they can act as methyl-group donors (169). Studies using mice expressing the Agouti allele, which is known to have variable expression due to differential methylation (114), have described altered gene expression when the maternal diet is supplemented with methyl-donors, leading to differential offspring phenotypes (157, 159). However, given that none of these therapies are targeted, perhaps the most attractive mechanisms to prevent fetal metabolic programming in cases of maternal obesity is at the source; that is, prevention of initial maternal inflammation, insulin resistance, and hyperlipidemia. Interventions to decrease excess maternal lipid availability may be specifically targeted through diet, supplementation (omega-3 fatty acids), or pharmacologic interventions (niacin, fibrates, insulin), depending on whether the excess fatty acids are in the form of chylomicron-TG, VLDL-TG, or FFAs. Omega-3 supplements in the form of cod oil were successful in decreasing maternal TG by about 10% compared with corn oil (68) and are known to decrease TG in the nonpregnant population. Niacin has been demonstrated to potently decrease TG in multiple studies involving nonpregnant individuals by increasing the activity of endothelial LPL and removing chylomicron-TG from plasma, as well as decreasing hepatic TG synthesis and VLDL production. Additionally, fibrates decrease synthesis of VLDL and also increase VLDL clearance, and are currently recommended to be used in pregnant women with severe hypertriglyceridemia due to the risk of TG-induced pancreatitis in pregnancy (90). Finally, insulin is known to suppress lipolysis. The suppression of FFA production by administration of exogenous insulin to pregnant women with well-controlled GDM, whose fetuses still exhibited excessive growth, has been speculated to be the reason why such strategies are effective in decreasing macrosomia (131). Undoubtedly, there is still much to be learned about the role of maternal obesity, diet, and lipid metabolism on fetal gene regulation. A better understanding of the mechanisms behind nutrient-gene interactions in the context of fetal development will clearly aid in the development of more targeted and effective means of intervention.
Conclusions and Future Directions
The prevalence of obesity in the developed world has increased markedly over the last 20 years in every country, in each race/ethnic group studied, and in both men and women. Considering the prevalence of obese and overweight adult women, and the fact that pregnancy itself induces a state of insulin resistance and inflammation, maternal obesity may be the most common health risk for the developing fetus. The notion that an abnormal maternal metabolic environment may lead to permanent changes in key organs that underlie fetal/juvenile programming of adult disease, is increasingly gaining acceptance. However, the mechanisms involved in generating such responses are far from being understood. One of the most important and challenging goals in this field will be to discover novel ways by which maternal metabolism alters chromatin structure in the fetus through epigenetic events, and to understand how these chromatin dynamics regulate key nuclear processes involved in the susceptibility to metabolic diseases. A persistent change in early gene transcription can change both behavior and organ function, and argues for a change in both disease susceptibility as well as age of onset as a result of the in utero insult. Newer techniques, such as genome-wide analyze, combining chromatin immunoprecipitation and microarray technology (ChIP-chip) may be instrumental in establishing the roles of many histone modifications. Additionally, with the advent of quantitative high throughput sequencing technology, the generation of reference epigenomes can be created using ChIP-Seq and bisulfite sequencing techniques to further decipher histone codes and DNA methylation patterns, respectively. The proteins and processes that govern these events may be highly conserved in eukaryotic evolution, such that what we learn in cells and genetically malleable animal models may directly relate ultimately to humans. This is clearly an important emerging field but a challenging research area that combines fetal physiology, fuel metabolism, and molecular biology. There exists an exciting potential for interdisciplinary investigators to ask mechanistic questions about the interaction between nutrients and chromatin dynamics to uncover the fundamental mechanisms underlying human fetal metabolic programming. Ultimately, prevention of the juvenile obesity epidemic may begin in the womb.
GRANTS
The authors acknowledge support for this study from National Institutes of Health Grants DK-078590 and P3-DK-48520–16 (to J. E. Friedman), DK-077630 (to L. A. Barbour), and by National Institutes of Health/National Center for Research Resources Colorado Clinical Translational Science Institute T32 Grant TL1-RR-025778 (to M. J. R. Heerwagen and M. R. Miller).
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the author(s).
REFERENCES
- 1.Aerts L, Van Assche FA. Rat foetal endocrine pancreas in experimental diabetes. J Endocrinol 73: 339–346, 1977 [DOI] [PubMed] [Google Scholar]
- 2.Agaard-Tillery KM, Grove K, Bishop J, Ke X, Fu Q, McKnight R, Lane RH. Developmental origins of disease and determinants of chromatin structure: maternal diet modifies the primate fetal epigenome. J Mol Endocrinol 41: 91–102, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Alkhouri N, Gornicka A, Berk MP, Thapaliya S, Dixon LJ, Kashyap S, Schauer PR, Feldstein AE. Adipocyte apoptosis, a link between obesity, insulin resistance, and hepatic steatosis. J Biol Chem 285: 3428–3438, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Barbour LA, Mizanoor RS, Gurevich I, Leitner JW, Fischer SJ, Roper MD, Knotts TA, Vo Y, McCurdy CE, Yakar S, Leroith D, Kahn CR, Cantley LC, Friedman JE, Draznin B. Increased P85α is a potent negative regulator of skeletal muscle insulin signaling and induces in vivo insulin resistance associated with growth hormone excess. J Biol Chem 280: 37489–37494, 2005 [DOI] [PubMed] [Google Scholar]
- 5.Barbour LA, Shao J, Qiao L, Leitner W, Anderson M, Friedman JE, Draznin B. Human placental growth hormone increases expression of the p85 regulatory unit of phosphatidylinositol 3-kinase and triggers severe insulin resistance in skeletal muscle. Endocrinology 145: 1144–1150, 2004 [DOI] [PubMed] [Google Scholar]
- 6.Barbour LA, Shao J, Qiao L, Pulawa LK, Jensen DR, Bartke A, Garrity M, Draznin B, Friedman JE. Human placental growth hormone causes severe insulin resistance in transgenic mice. Am J Obstet Gynecol 186: 512–517, 2002 [DOI] [PubMed] [Google Scholar]
- 7.Barker DJ. The origins of the developmental origins theory. J Intern Med 261: 412–417, 2007 [DOI] [PubMed] [Google Scholar]
- 8.Barker DJ, Winter PD, Osmond C, Margetts B, Simmonds SJ. Weight in infancy and death from ischaemic heart disease. Lancet 2: 577–580, 1989 [DOI] [PubMed] [Google Scholar]
- 9.Beier V, Mund C, Hoheisel JD. Monitoring methylation changes in cancer. Adv Biochem Eng Biotechnol 104: 1–11, 2007 [DOI] [PubMed] [Google Scholar]
- 10.Benetti R, Gonzalo S, Jaco I, Munoz P, Gonzalez S, Schoeftner S, Murchison E, Andl T, Chen T, Klatt P, Li E, Serrano M, Millar S, Hannon G, Blasco MA. A mammalian microRNA cluster controls DNA methylation and telomere recombination via Rbl2-dependent regulation of DNA methyltransferases. Nat Struct Mol Biol 15: 268–279, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bird A. DNA methylation patterns and epigenetic memory. Genes Dev 16: 6–21, 2002 [DOI] [PubMed] [Google Scholar]
- 12.Blatt SP, Zajac RA. Treatment of Listeria bacteremia with vancomycin. Rev Infect Dis 13: 181–182, 1991 [DOI] [PubMed] [Google Scholar]
- 13.Boloker J, Gertz SJ, Simmons RA. Gestational diabetes leads to the development of diabetes in adulthood in the rat. Diabetes 51: 1499–1506, 2002 [DOI] [PubMed] [Google Scholar]
- 14.Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics 115: e290–e296, 2005 [DOI] [PubMed] [Google Scholar]
- 15.Bonnard C, Durand A, Peyrol S, Chanseaume E, Chauvin MA, Morio B, Vidal H, Rieusset J. Mitochondrial dysfunction results from oxidative stress in the skeletal muscle of diet-induced insulin-resistant mice. J Clin Invest 118: 789–800, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Boura-Halfon S, Zick Y. Phosphorylation of IRS proteins, insulin action, and insulin resistance. Am J Physiol Endocrinol Metab 296: E581–E591, 2009 [DOI] [PubMed] [Google Scholar]
- 17.Bouret SG. Early life origins of obesity: role of hypothalamic programming. J Pediatr Gastroenterol Nutr 48, Suppl 1: S31–S38, 2009 [DOI] [PubMed] [Google Scholar]
- 18.Bouzakri K, Zierath JR. MAP4K4 gene silencing in human skeletal muscle prevents tumor necrosis factor-α-induced insulin resistance. J Biol Chem 282: 7783–7789, 2007 [DOI] [PubMed] [Google Scholar]
- 19.Brion MJ, Ness AR, Rogers I, Emmett P, Cribb V, Davey SG, Lawlor DA. Maternal macronutrient and energy intakes in pregnancy and offspring intake at 10 y: exploring parental comparisons and prenatal effects. Am J Clin Nutr 91: 748–756, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brophy S, Cooksey R, Gravenor M, Mistry R, Thomas N, Lyons R, Williams R. Risk factors for childhood obesity at age 5: analysis of the millennium cohort study (Abstract). BMC Public Health 9: 467, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Brown WH, Pfeiffer KA, McIver KL, Dowda M, Addy CL, Pate RR. Social and environmental factors associated with preschoolers' nonsedentary physical activity. Child Dev 80: 45–58, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bruce KD, Cagampang FR, Argenton M, Zhang J, Ethirajan PL, Burdge GC, Bateman AC, Clough GF, Poston L, Hanson MA, McConnell JM, Byrne CD. Maternal high-fat feeding primes steatohepatitis in adult mice offspring, involving mitochondrial dysfunction and altered lipogenesis gene expression. Hepatology 50: 1796–1808, 2009 [DOI] [PubMed] [Google Scholar]
- 23.Bruun JM, Helge JW, Richelsen B, Stallknecht B. Diet and exercise reduce low-grade inflammation and macrophage infiltration in adipose tissue but not in skeletal muscle in severely obese subjects. Am J Physiol Endocrinol Metab 290: E961–E967, 2006 [DOI] [PubMed] [Google Scholar]
- 24.Burdge GC, Slater-Jefferies J, Torrens C, Phillips ES, Hanson MA, Lillycrop KA. Dietary protein restriction of pregnant rats in the F0 generation induces altered methylation of hepatic gene promoters in the adult male offspring in the F1 and F2 generations. Br J Nutr 97: 435–439, 2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Butte NF, Ellis KJ, Wong WW, Hopkinson JM, Smith EO. Composition of gestational weight gain impacts maternal fat retention and infant birth weight. Am J Obstet Gynecol 189: 1423–1432, 2003 [DOI] [PubMed] [Google Scholar]
- 26.Campos EI, Reinberg D. Histones: annotating chromatin. Annu Rev Genet 43: 559–599, 2009 [DOI] [PubMed] [Google Scholar]
- 27.Cancello R, Henegar C, Viguerie N, Taleb S, Poitou C, Rouault C, Coupaye M, Pelloux V, Hugol D, Bouillot JL, Bouloumié A, Barbatelli G, Cinti S, Svensson PA, Barsh GS, Zucker JD, Basdevant A, Langin D, Clément K. Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss. Diabetes 54: 2277–2286, 2005 [DOI] [PubMed] [Google Scholar]
- 28.Catalano PM, Ehrenberg HM. The short- and long-term implications of maternal obesity on the mother and her offspring. BJOG 113: 1126–1133, 2006 [DOI] [PubMed] [Google Scholar]
- 29.Catalano PM, Roman-Drago NM, Amini SB, Sims EA. Longitudinal changes in body composition and energy balance in lean women with normal and abnormal glucose tolerance during pregnancy. Am J Obstet Gynecol 179: 156–165, 1998 [DOI] [PubMed] [Google Scholar]
- 30.Catalano PM, Farrell K, Thomas A, Huston-Presley L, Mencin P, de Mouzon SH, Amini SB. Perinatal risk factors for childhood obesity and metabolic dysregulation. Am J Clin Nutr 90: 1303–1313, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Catalano PM, Nizielski SE, Shao J, Preston L, Qiao L, Friedman JE. Downregulated IRS-1 and PPARγ in obese women with gestational diabetes: relationship to FFA during pregnancy. Am J Physiol Endocrinol Metab 282: E522–E533, 2002 [DOI] [PubMed] [Google Scholar]
- 32.Catalano PM, Presley L, Minium J, Hauguel-de Mouzon S. Fetuses of obese mothers develop insulin resistance in utero. Diabetes Care 32: 1076–1080, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Challier JC, Basu S, Bintein T, Minium J, Hotmire K, Catalano PM, Hauguel-de MS. Obesity in pregnancy stimulates macrophage accumulation and inflammation in the placenta. Placenta 29: 274–281, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Chang GQ, Gaysinskaya V, Karatayev O, Leibowitz SF. Maternal high-fat diet and fetal programming: increased proliferation of hypothalamic peptide-producing neurons that increase risk for overeating and obesity. J Neurosci 28: 12107–12119, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Chen YD, Golay A, Swislocki AL, Reaven GM. Resistance to insulin suppression of plasma free fatty acid concentrations and insulin stimulation of glucose uptake in noninsulin-dependent diabetes mellitus. J Clin Endocrinol Metab 64: 17–21, 1987 [DOI] [PubMed] [Google Scholar]
- 36.Cheng X, Blumenthal RM. Coordinated chromatin control: structural and functional linkage of DNA and histone methylation. Biochemistry 49: 2999–3008, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Chmurzynska A. Fetal programming: link between early nutrition, DNA methylation, and complex diseases. Nutr Rev 68: 87–98, 2010 [DOI] [PubMed] [Google Scholar]
- 38.Cinti S, Mitchell G, Barbatelli G, Murano I, Ceresi E, Faloia E, Wang S, Fortier M, Greenberg AS, Obin MS. Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J Lipid Res 46: 2347–2355, 2005 [DOI] [PubMed] [Google Scholar]
- 39.Clarke SD. The multi-dimensional regulation of gene expression by fatty acids: polyunsaturated fats as nutrient sensors. Curr Opin Lipidol 15: 13–18, 2004 [DOI] [PubMed] [Google Scholar]
- 40.Clement K, Viguerie N, Poitou C, Carette C, Pelloux V, Curat C, Sicard A, Rome S, Benis A, Zucker J, Vidal H, Laville M, Barch G, Basdevant A, Stich V, Cancello R, Langin D. Weight loss regulates inflammation-related genes in white adipose tissue of obese subjects. FASEB J 18: 1657–1669, 2004 [DOI] [PubMed] [Google Scholar]
- 41.Cohen P. The twentieth century struggle to decipher insulin signalling. Nat Rev Mol Cell Biol 7: 867–873, 2006 [DOI] [PubMed] [Google Scholar]
- 42.Coppack SW, Jensen MD, Miles JM. In vivo regulation of lipolysis in humans. J Lipid Res 35: 177–193, 1994 [PubMed] [Google Scholar]
- 43.Dabelea D, Hanson RL, Lindsay RS, Pettitt DJ, Imperatore G, Gabir MM, Roumain J, Bennett PH, Knowler WC. Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships. Diabetes 49: 2208–2211, 2000 [DOI] [PubMed] [Google Scholar]
- 44.Dahlman I, Kaaman M, Olsson T, Tan GD, Bickerton AST, Wahlen K, Andersson J, Nordstrom EA, Blomqvist L, Sjogren A, Forsgren M, Attersand A, Arner P. A unique role of monocyte chemoattractant protein 1 among chemokines in adipose tissue of obese subjects. J Clin Endocrinol Metab 90: 5834–5840, 2005 [DOI] [PubMed] [Google Scholar]
- 45.Danielzik S, Langnase K, Mast M, Spethmann C, Muller MJ. Impact of parental BMI on the manifestation of overweight 5–7 year old children. Eur J Nutr 41: 132–138, 2002 [DOI] [PubMed] [Google Scholar]
- 46.Di CG, Miccoli R, Volpe L, Lencioni C, Ghio A, Giovannitti MG, Cuccuru I, Pellegrini G, Chatzianagnostou K, Boldrini A, Del PS. Maternal triglyceride levels and newborn weight in pregnant women with normal glucose tolerance. Diabet Med 22: 21–25, 2005 [DOI] [PubMed] [Google Scholar]
- 47.Diraison F, Moulin P, Beylot M. Contribution of hepatic de novo lipogenesis and reesterification of plasma non esterified fatty acids to plasma triglyceride synthesis during non-alcoholic fatty liver disease. Diabetes Metab 29: 478–485, 2003 [DOI] [PubMed] [Google Scholar]
- 48.Draznin B. Molecular mechanisms of insulin resistance: serine phosphorylation of insulin receptor substrate-1 and increased expression of p85α: the two sides of a coin. Diabetes 55: 2392–2397, 2006 [DOI] [PubMed] [Google Scholar]
- 49.Dresner A, Laurent D, Marcucci M, Griffin ME, Dufour S, Cline GW, Slezak LA, Andersen DK, Hundal RS, Rothman DL, Petersen KF, Shulman GI. Effects of free fatty acids on glucose transport and IRS-1-associated phosphatidylinositol 3-kinase activity. J Clin Invest 103: 253–259, 1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Duttaroy AK. Transport of fatty acids across the human placenta: a review. Prog Lipid Res 48: 52–61, 2009 [DOI] [PubMed] [Google Scholar]
- 51.Ehrenberg HM, Huston-Presley L, Catalano PM. The influence of obesity and gestational diabetes mellitus on accretion and the distribution of adipose tissue in pregnancy. Am J Obstet Gynecol 189: 944–948, 2003 [DOI] [PubMed] [Google Scholar]
- 52.Elahi MM, Cagampang FR, Mukhtar D, Anthony FW, Ohri SK, Hanson MA. Long-term maternal high-fat feeding from weaning through pregnancy and lactation predisposes offspring to hypertension, raised plasma lipids and fatty liver in mice. Br J Nutr 102: 514–519, 2009 [DOI] [PubMed] [Google Scholar]
- 53.Elchalal U, Schaiff WT, Smith SD, Rimon E, Bildirici I, Nelson DM, Sadovsky Y. Insulin and fatty acids regulate the expression of the fat droplet-associated protein adipophilin in primary human trophoblasts. Am J Obstet Gynecol 193: 1716–1723, 2005 [DOI] [PubMed] [Google Scholar]
- 54.Flanagan DE, Moore VM, Godsland IF, Cockington RA, Robinson JS, Phillips DIW. Fetal growth and the physiological control of glucose tolerance in adults: a minimal model analysis. Am J Physiol Endocrinol Metab 278: E700–E706, 2000 [DOI] [PubMed] [Google Scholar]
- 55.Ford SP, Zhang L, Zhu M, Miller MM, Smith DT, Hess BW, Moss GE, Nathanielsz PW, Nijland MJ. Maternal obesity accelerates fetal pancreatic beta-cell but not alpha-cell development in sheep: prenatal consequences. Am J Physiol Regul Integr Comp Physiol 297: R835–R843, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Friedman JE, Kirwan JP, Jing M, Presley L, Catalano PM. Increased skeletal muscle tumor necrosis factor-α and impaired insulin signaling persist in obese women with gestational diabetes mellitus 1 year postpartum. Diabetes 57: 606–613, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Fu Q, Yu X, Callaway CW, Lane RH, McKnight RA. Epigenetics: intrauterine growth retardation (IUGR) modifies the histone code along the rat hepatic IGF-1 gene. FASEB J 23: 2438–2449, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Fujisaka S, Usui I, Bukhari A, Ikutani M, Oya T, Kanatani Y, Tsuneyama K, Nagai Y, Takatsu K, Urakaze M, Kobayashi M, Tobe K. Regulatory mechanisms for adipose tissue M1 and M2 macrophages in diet-induced obese mice. Diabetes 58: 2574–2582, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Gallou-Kabani C, Vige A, Gross MS, Boileau C, Rabes JP, Fruchart-Najib J, Jais JP, Junien C. Resistance to high-fat diet in the female progeny of obese mice fed a control diet during the periconceptual, gestation, and lactation periods. Am J Physiol Endocrinol Metab 292: E1095–E1100, 2007 [DOI] [PubMed] [Google Scholar]
- 60.Ganesan A, Nolan L, Crabb SJ, Packham G. Epigenetic therapy: histone acetylation, DNA methylation and anti-cancer drug discovery. Curr Cancer Drug Targets 9: 963–981, 2009 [DOI] [PubMed] [Google Scholar]
- 61.Gelato KA, Fischle W. Role of histone modifications in defining chromatin structure and function. Biol Chem 389: 353–363, 2008 [DOI] [PubMed] [Google Scholar]
- 62.Ghosh S, Yates AJ, Fruhwald MC, Miecznikowski JC, Plass C, Smiraglia DJ. Tissue specific DNA methylation of CpG islands in normal human adult somatic tissues distinguishes neural from non-neural tissues. Epigenetics. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Gluckman PD, Hanson MA, Buklijas T, Low FM, Beedle AS. Epigenetic mechanisms that underpin metabolic and cardiovascular diseases. Nat Rev Endocrinol 5: 401–408, 2009 [DOI] [PubMed] [Google Scholar]
- 64.Gniuli D, Calcagno A, Caristo ME, Mancuso A, Macchi V, Mingrone G, Vettor R. Effects of high-fat diet exposure during fetal life on type 2 diabetes development in the progeny. J Lipid Res 49: 1936–1945, 2008 [DOI] [PubMed] [Google Scholar]
- 65.Haggarty P. Effect of placental function on fatty acid requirements during pregnancy. Eur J Clin Nutr 58: 1559–1570, 2004 [DOI] [PubMed] [Google Scholar]
- 66.Hay WW., Jr Metabolic interrelationships of placenta and fetus. Placenta 16: 19–30, 1995 [DOI] [PubMed] [Google Scholar]
- 67.Hay WW. Early postnatal nutritional requirements of the very preterm infant based on a presentation at the NICHD-AAP workshop on research in neonatology. J Perinatol 26, Suppl 2: S13–S18, 2006 [DOI] [PubMed] [Google Scholar]
- 68.Helland IB, Saugstad OD, Saarem K, Van Houwelingen AC, Nylander G, Drevon CA. Supplementation of n-3 fatty acids during pregnancy and lactation reduces maternal plasma lipid levels and provides DHA to the infants. J Matern Fetal Neonatal Med 19: 397–406, 2006 [DOI] [PubMed] [Google Scholar]
- 69.Herrera E. Metabolic adaptations in pregnancy and their implications for the availability of substrates to the fetus. Eur J Clin Nutr 54, Suppl 1: S47–S51, 2000 [DOI] [PubMed] [Google Scholar]
- 70.Herrera E. Lipid metabolism in pregnancy and its consequences in the fetus and newborn. Endocrine 19: 43–55, 2002 [DOI] [PubMed] [Google Scholar]
- 71.Herrera E, Amusquivar E, Lopez-Soldado I, Ortega H. Maternal lipid metabolism and placental lipid transfer. Horm Res 65, Suppl 3: 59–64, 2006 [DOI] [PubMed] [Google Scholar]
- 72.Holemans K, Caluwaerts S, Poston L, Van Assche FA. Diet-induced obesity in the rat: a model for gestational diabetes mellitus. Am J Obstet Gynecol 190: 858–865, 2004 [DOI] [PubMed] [Google Scholar]
- 73.Hotamisligil GS, Shargill NS, Spiegelman BM. Adipose expression of tumor necrosis factor-α: direct role in obesity-linked insulin resistance. Science 259: 87–91, 1993 [DOI] [PubMed] [Google Scholar]
- 74.Hotamisligil GS. Inflammation and metabolic disorders. Nature 444: 860–867, 2006 [DOI] [PubMed] [Google Scholar]
- 75.Hulver MW, Berggren JR, Carper MJ, Miyazaki M, Ntambi JM, Hoffman EP, Thyfault JP, Stevens R, Dohm GL, Houmard JA, Muoio DM. Elevated stearoyl-CoA desaturase-1 expression in skeletal muscle contributes to abnormal fatty acid partitioning in obese humans. Cell Metab 2: 251–261, 2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Igosheva N, Abramov AY, Poston L, Eckert JJ, Fleming TP, Duchen MR, McConnell J. Maternal diet-induced obesity alters mitochondrial activity and redox status in mouse oocytes and zygotes. PLoS One 5: e10074, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Illingworth R, Kerr A, Desousa D, Jorgensen H, Ellis P, Stalker J, Jackson D, Clee C, Plumb R, Rogers J, Humphray S, Cox T, Langford C, Bird A. A novel CpG island set identifies tissue-specific methylation at developmental gene loci. PLoS Biol 6: e22, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Illingworth RS, Bird AP. CpG islands–‘a rough guide’. FEBS Lett 583: 1713–1720, 2009 [DOI] [PubMed] [Google Scholar]
- 79.Ismail-Beigi F, Catalano PM, Hanson RW. Metabolic programming: fetal origins of obesity and metabolic syndrome in the adult. Am J Physiol Endocrinol Metab 291: E439–E440, 2006 [DOI] [PubMed] [Google Scholar]
- 80.Jaenisch R, Bird A. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nat Genet 33, Suppl: 245–254, 2003 [DOI] [PubMed] [Google Scholar]
- 81.Jirtle RL, Skinner MK. Environmental epigenomics and disease susceptibility. Nat Rev Genet 8: 253–262, 2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Johnson L, Mander AP, Jones LR, Emmett PM, Jebb SA. Energy-dense, low-fiber, high-fat dietary pattern is associated with increased fatness in childhood. Am J Clin Nutr 87: 846–854, 2008 [DOI] [PubMed] [Google Scholar]
- 83.Jones HN, Jansson T, Powell TL. IL-6 stimulates system A amino acid transporter activity in trophoblast cells through STAT3 and increased expression of SNAT2. Am J Physiol Cell Physiol 297: C1228–C1235, 2009 [DOI] [PubMed] [Google Scholar]
- 84.Kelishadi R, Badiee Z, Adeli K. Cord blood lipid profile and associated factors: baseline data of a birth cohort study. Paediatr Perinat Epidemiol 21: 518–524, 2007 [DOI] [PubMed] [Google Scholar]
- 85.Khan NA. Role of lipids and fatty acids in macrosomic offspring of diabetic pregnancy. Cell Biochem Biophys 48: 79–88, 2007 [DOI] [PubMed] [Google Scholar]
- 86.Khraiwesh B, Arif MA, Seumel GI, Ossowski S, Weigel D, Reski R, Frank W. Transcriptional control of gene expression by microRNAs. Cell 140: 111–122, 2010 [DOI] [PubMed] [Google Scholar]
- 87.Kim SY, Dietz PM, England L, Morrow B, Callaghan WM. Trends in pre-pregnancy obesity in nine states, 1993–2003. Obesity (Silver Spring) 15: 986–993, 2007 [DOI] [PubMed] [Google Scholar]
- 88.Kirchner S, Kieu T, Chow C, Casey S, Blumberg B. Prenatal exposure to the environmental obesogen tributyltin predisposes multipotent stem cells to become adipocytes. Mol Endocrinol 24: 526–539, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Kitajima M, Oka S, Yasuhi I, Fukuda M, Rii Y, Ishimaru T. Maternal serum triglyceride at 24–32 weeks' gestation and newborn weight in nondiabetic women with positive diabetic screens. Obstet Gynecol 97: 776–780, 2001 [DOI] [PubMed] [Google Scholar]
- 90.Kitzmiller JL, Block JM, Brown FM, Catalano PM, Conway DL, Coustan DR, Gunderson EP, Herman WH, Hoffman LD, Inturrisi M, Jovanovic LB, Kjos SI, Knopp RH, Montoro MN, Ogata ES, Paramsothy P, Reader DM, Rosenn BM, Thomas AM, Kirkman MS. Managing preexisting diabetes for pregnancy: summary of evidence and consensus recommendations for care. Diabetes Care 31: 1060–1079, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Knight B, Shields BM, Hill A, Powell RJ, Wright D, Hattersley AT. The impact of maternal glycemia and obesity on early postnatal growth in a nondiabetic caucasian population. Diabetes Care 30: 777–783, 2007 [DOI] [PubMed] [Google Scholar]
- 92.Koletzko B, Larque E, Demmelmair H. Placental transfer of long-chain polyunsaturated fatty acids (LC-PUFA). J Perinat Med 35, Suppl 1: S5–S11, 2007 [DOI] [PubMed] [Google Scholar]
- 93.Kral JG, Biron S, Simard S, Hould FS, Lebel S, Marceau S, Marceau P. Large maternal weight loss from obesity surgery prevents transmission of obesity to children who were followed for 2 to 18 years. Pediatrics 118: e1644–e1649, 2006 [DOI] [PubMed] [Google Scholar]
- 94.Lain KY, Catalano PM. Metabolic changes in pregnancy. Clin Obstet Gynecol 50: 938–948, 2007 [DOI] [PubMed] [Google Scholar]
- 95.Laine PS, Schwartz EA, Wang Y, Zhang WY, Karnik SK, Musi N, Reaven PD. Palmitic acid induces IP-10 expression in human macrophages via NF-κB activation. Biochem Biophys Res Comm 358: 150–155, 2007 [DOI] [PubMed] [Google Scholar]
- 96.Lane RH, MacLennan NK, Hsu JL, Janke SM, Pham TD. Increased hepatic peroxisome proliferator-activated receptor-γ coactivator-1 gene expression in a rat model of intrauterine growth retardation and subsequent insulin resistance. Endocrinology 143: 2486–2490, 2002 [DOI] [PubMed] [Google Scholar]
- 97.Langer O. Fetal macrosomia: etiologic factors. Clin Obstet Gynecol 43: 283–297, 2000 [DOI] [PubMed] [Google Scholar]
- 98.Lawlor DA, Smith GD, O'Callaghan M, Alati R, Mamun AA, Williams GM, Najman JM. epidemiologic evidence for the fetal overnutrition hypothesis: findings from the mater-university study of pregnancy and its outcomes. Am J Epidemiol 165: 418–424, 2007 [DOI] [PubMed] [Google Scholar]
- 99.Laybutt DR, Preston AM, Akerfeldt MC, Kench JG, Busch AK, Biankin AV, Biden TJ. Endoplasmic reticulum stress contributes to beta cell apoptosis in type 2 diabetes. Diabetologia 50: 752–763, 2007 [DOI] [PubMed] [Google Scholar]
- 100.Lee JY, Sohn KH, Rhee SH, Hwang D. Saturated fatty acids, but not unsaturated fatty acids, induce the expression of cyclooxygenase-2 mediated through toll-like receptor 4. J Biol Chem 276: 16683–16689, 2001 [DOI] [PubMed] [Google Scholar]
- 101.Levin BE. Epigenetic influences on food intake and physical activity level: review of animal studies. Obesity (Silver Spring) 16, Suppl 3: S51–S54, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Lillycrop KA, Phillips ES, Jackson AA, Hanson MA, Burdge GC. Dietary protein restriction of pregnant rats induces and folic acid supplementation prevents epigenetic modification of hepatic gene expression in the offspring. J Nutr 135: 1382–1386, 2005 [DOI] [PubMed] [Google Scholar]
- 103.Limesand SW, Rozance PJ, Zerbe GO, Hutton JC, Hay WW., Jr Attenuated insulin release and storage in fetal sheep pancreatic islets with intrauterine growth restriction. Endocrinology 147: 1488–1497, 2006 [DOI] [PubMed] [Google Scholar]
- 104.Liu XM, Lu Y, Pan LL, Li SQ. Increased expression of gluconeogenic enzymes in the liver of IUGR rats and subsequent insulin resistance. Zhongguo Dang Dai Er Ke Za Zhi 10: 216–220, 2008 [PubMed] [Google Scholar]
- 105.Magnusson-Olsson AL, Hamark B, Ericsson A, Wennergren M, Jansson T, Powell TL. Gestational and hormonal regulation of human placental lipoprotein lipase. J Lipid Res 47: 2551–2561, 2006 [DOI] [PubMed] [Google Scholar]
- 106.McConnell JM, Petrie L. Mitochondrial DNA turnover occurs during preimplantation development and can be modulated by environmental factors. Reprod Biomed Online 9: 418–424, 2004 [DOI] [PubMed] [Google Scholar]
- 107.McCormick CM, Smythe JW, Sharma S, Meaney MJ. Sex-specific effects of prenatal stress on hypothalamic-pituitary-adrenal responses to stress and brain glucocorticoid receptor density in adult rats. Dev Brain Res 84: 55–61, 1995 [DOI] [PubMed] [Google Scholar]
- 108.McCurdy CE, Bishop JM, Williams SM, Grayson BE, Smith MS, Friedman JE, Grove KL. Maternal high-fat diet triggers lipotoxicity in the fetal livers of nonhuman primates. J Clin Invest 119: 323–335, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.McIntyre HD, Chang AM, Callaway LK, Cowley DM, Dyer AR, Radaelli T, Farrell KA, Huston-Presley L, Amini SB, Kirwan JP, Catalano PM. Hormonal and metabolic factors associated with variations in insulin sensitivity in human pregnancy. Diabetes Care 33: 356–360, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Medzhitov R, Horng T. Transcriptional control of the inflammatory response. Nat Rev Immunol 9: 692–703, 2009 [DOI] [PubMed] [Google Scholar]
- 111.Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, Hadden DR, McCance DR, Hod M, McIntyre HD, Oats JJ, Persson B, Rogers MS, Sacks DA. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med 358: 1991–2002, 2008 [DOI] [PubMed] [Google Scholar]
- 112.Mitchell M, Schulz SL, Armstrong DT, Lane M. Metabolic and mitochondrial dysfunction in early mouse embryos following maternal dietary protein intervention. Biol Reprod 80: 622–630, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J, Puigserver P, Carlsson E, Ridderstrale M, Laurila E, Houstis N, Daly MJ, Patterson N, Mesirov JP, Golub TR, Tamayo P, Spiegelman B, Lander ES, Hirschhorn JN, Altshuler D, Groop LC. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet 34: 267–273, 2003 [DOI] [PubMed] [Google Scholar]
- 114.Morgan HD, Sutherland HG, Martin DI, Whitelaw E. Epigenetic inheritance at the agouti locus in the mouse. Nat Genet 23: 314–318, 1999 [DOI] [PubMed] [Google Scholar]
- 115.Mortensen OH, Olsen HL, Frandsen L, Nielsen PE, Nielsen FC, Grunnet N, Quistorff B. Gestational protein restriction in mice has pronounced effects on gene expression in newborn offspring's liver and skeletal muscle; protective effect of taurine. Pediatr Res 67: 47–53, 2010 [DOI] [PubMed] [Google Scholar]
- 116.Muhlhausler BS, Duffield JA, McMillen IC. Increased maternal nutrition stimulates peroxisome proliferator activated receptor-γ, adiponectin, and leptin messenger ribonucleic acid expression in adipose tissue before birth. Endocrinology 148: 878–885, 2007 [DOI] [PubMed] [Google Scholar]
- 117.Nguyen MTA, Favelyukis S, Nguyen AK, Reichart D, Scott PA, Jenn A, Liu-Bryan R, Glass CK, Neels JG, Olefsky JM. A subpopulation of macrophages infiltrates hypertrophic adipose tissue and is activated by free fatty acids via toll-like receptors 2 and 4 and JNK-dependent pathways. J Biol Chem 282: 35279–35292, 2007 [DOI] [PubMed] [Google Scholar]
- 118.Nijland MJ, Mitsuya K, Li C, Ford SP, McDonald TJ, Nathanielsz PW, Cox LA. Epigenetic modification of fetal baboon hepatic phosphoenolpyruvate carboxykinase following exposure to moderately reduced nutrient availability. J Physiol 588: 1349–1359, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Oben JA, Patel T, Mouralidarane A, Samuelsson AM, Matthews P, Pombo J, Morgan M, McKee C, Soeda J, Novelli M, Poston L, Taylor P. Maternal obesity programmes offspring development of non-alcoholic fatty pancreas disease. Biochem Biophys Res Commun 394: 24–28, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Ouzilleau C, Roy MA, Leblanc L, Carpentier A, Maheux P. An observational study comparing 2-hour 75-g oral glucose tolerance with fasting plasma glucose in pregnant women: both poorly predictive of birth weight. CMAJ 168: 403–409, 2003 [PMC free article] [PubMed] [Google Scholar]
- 121.Page KC, Malik RE, Ripple JA, Anday EK. Maternal and postweaning diet interaction alters hypothalamic gene expression and modulates response to a high-fat diet in male offspring. Am J Physiol Regul Integr Comp Physiol 297: R1049–R1057, 2009 [DOI] [PubMed] [Google Scholar]
- 122.Park JH, Stoffers DA, Nicholls RD, Simmons RA. Development of type 2 diabetes following intrauterine growth retardation in rats is associated with progressive epigenetic silencing of Pdx1. J Clin Invest 118: 2316–2324, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Patti ME, Butte AJ, Crunkhorn S, Cusi K, Berria R, Kashyap S, Miyazaki Y, Kohane I, Costello M, Saccone R, Landaker EJ, Goldfine AB, Mun E, DeFronzo R, Finlayson J, Kahn CR, Mandarino LJ. Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: potential role of PGC1 and NRF1. Proc Natl Acad Sci USA 100: 8466–8471, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Radaelli T, Lepercq J, Varastehpour A, Basu S, Catalano PM, Hauguel-De Mouzon S. Differential regulation of genes for fetoplacental lipid pathways in pregnancy with gestational and type 1 diabetes mellitus. Am J Obstet Gynecol 201: 209.e1–209.e10, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Ramsay JE, Ferrell WR, Crawford L, Wallace AM, Greer IA, Sattar N. Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J Clin Endocrinol Metab 87: 4231–4237, 2002 [DOI] [PubMed] [Google Scholar]
- 126.Rector RS, Thyfault JP, Uptergrove GM, Morris EM, Naples SP, Borengasser SJ, Mikus CR, Laye MJ, Laughlin MH, Booth FW, Ibdah JA. Mitochondrial dysfunction precedes insulin resistance and hepatic steatosis and contributes to the natural history of non-alcoholic fatty liver disease in an obese rodent model. J Hepatol 52: 727–736, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Robertson KD. DNA methylation and chromatin–unraveling the tangled web. Oncogene 21: 5361–5379, 2002 [DOI] [PubMed] [Google Scholar]
- 128.Rozance PJ, Limesand SW, Zerbe GO, Hay WW., Jr Chronic fetal hypoglycemia inhibits the later steps of stimulus-secretion coupling in pancreatic beta-cells. Am J Physiol Endocrinol Metab 292: E1256–E1264, 2007 [DOI] [PubMed] [Google Scholar]
- 129.Ruan H, Lodish HF. Insulin resistance in adipose tissue: direct and indirect effects of tumor necrosis factor-α. Cytokine Growth Factor Rev 14: 447–455, 2003 [DOI] [PubMed] [Google Scholar]
- 130.Sachdeva MM, Claiborn KC, Khoo C, Yang J, Groff DN, Mirmira RG, Stoffers DA. Pdx1 (MODY4) regulates pancreatic beta cell susceptibility to ER stress. Proc Natl Acad Sci USA 106: 19090–19095, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Schaefer-Graf UM, Graf K, Kulbacka I, Kjos SL, Dudenhausen J, Vetter K, Herrera E. Maternal lipids as strong determinants of fetal environment and growth in pregnancies with gestational diabetes mellitus. Diabetes Care 31: 1858–1863, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Sewell MF, Huston-Presley L, Super DM, Catalano P. Increased neonatal fat mass, not lean body mass, is associated with maternal obesity. Am J Obstet Gynecol 195: 1100–1103, 2006 [DOI] [PubMed] [Google Scholar]
- 133.Shafrir E, Khassis S. Maternal-fetal fat transport versus new fat synthesis in the pregnant diabetic rat. Diabetologia 22: 111–117, 1982 [DOI] [PubMed] [Google Scholar]
- 134.Sharma S, Kelly TK, Jones PA. Epigenetics in cancer. Carcinogenesis 31: 27–36, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Shoelson SE, Herrero L, Naaz A. Obesity, inflammation, and insulin resistance. Gastroenterology 132: 2169–2180, 2007 [DOI] [PubMed] [Google Scholar]
- 136.Sparks JW, Girard JR, Battaglia FC. An estimate of the caloric requirements of the human fetus. Biol Neonate 38: 113–119, 1980 [DOI] [PubMed] [Google Scholar]
- 137.Srinivasan M, Katewa SD, Palaniyappan A, Pandya JD, Patel MS. Maternal high-fat diet consumption results in fetal malprogramming predisposing to the onset of metabolic syndrome-like phenotype in adulthood. Am J Physiol Endocrinol Metab 291: E792–E799, 2006 [DOI] [PubMed] [Google Scholar]
- 138.Stimson L, Wood V, Khan O, Fotheringham S, La Thangue NB. HDAC inhibitor-based therapies and haematological malignancy. Ann Oncol 20: 1293–1302, 2009 [DOI] [PubMed] [Google Scholar]
- 139.Straczkowski M, Dzienis-Straczkowska S, Stepien A, Kowalska I, Szelachowska M, Kinalska I. Plasma interleukin-8 concentrations are increased in obese subjects and related to fat mass and tumor necrosis factor-α system. J Clin Endocrinol Metab 87: 4602–4606, 2002 [DOI] [PubMed] [Google Scholar]
- 140.Suganami T, Tanimoto-Koyama K, Nishida J, Itoh M, Yuan X, Mizuarai S, Kotani H, Yamaoka S, Miyake K, Aoe S, Kamei Y, Ogawa Y. Role of the toll-like receptor 4/NF-κB pathway in saturated fatty acid-induced inflammatory changes in the interaction between adipocytes and macrophages. Arterioscler Thromb Vasc Biol 27: 84–91, 2007 [DOI] [PubMed] [Google Scholar]
- 141.Sugii S, Olson P, Sears DD, Saberi M, Atkins AR, Barish GD, Hong SH, Castro GL, Yin YQ, Nelson MC, Hsiao G, Greaves DR, Downes M, Yu RT, Olefsky JM, Evans RM. PPARγ activation in adipocytes is sufficient for systemic insulin sensitization. Proc Natl Acad Sci USA 106: 22504–22509, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Sullivan EL, Grayson B, Takahashi D, Robertson N, Maier A, Bethea CL, Smith MS, Coleman K, Grove KL. Chronic consumption of a high-fat diet during pregnancy causes perturbations in the serotonergic system and increased anxiety-like behavior in nonhuman primate offspring. J Neurosci 30: 3826–3830, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Taniguchi CM, Emanuelli B, Kahn CR. Critical nodes in signalling pathways: insights into insulin action. Nat Rev Mol Cell Biol 7: 85–96, 2006 [DOI] [PubMed] [Google Scholar]
- 144.Taylor GM, Alexander FE, D'Souza SW. Interactions between fetal HLA-DQ alleles and maternal smoking influence birthweight. Paediatr Perinat Epidemiol 20: 438–448, 2006 [DOI] [PubMed] [Google Scholar]
- 145.Thouas GA, Trounson AO, Jones GM. Developmental effects of sublethal mitochondrial injury in mouse oocytes. Biol Reprod 74: 969–977, 2006 [DOI] [PubMed] [Google Scholar]
- 146.Turner CL, Mackay DM, Callaway JL, Docherty LE, Poole RL, Bullman H, Lever M, Castle BM, Kivuva EC, Turnpenny PD, Mehta SG, Mansour S, Wakeling EL, Mathew V, Madden J, Davies JH, Temple IK. Methylation analysis of 79 patients with growth restriction reveals novel patterns of methylation change at imprinted loci. Eur J Hum Genet 18: 648–655, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Unger RH. Lipotoxicity in the pathogenesis of obesity-dependent NIDDM. Genetic and clinical implications. Diabetes 44: 863–870, 1995 [DOI] [PubMed] [Google Scholar]
- 148.Urdinguio RG, Sanchez-Mut JV, Esteller M. Epigenetic mechanisms in neurological diseases: genes, syndromes, and therapies. Lancet Neurol 8: 1056–1072, 2009 [DOI] [PubMed] [Google Scholar]
- 149.Uysal KT, Wiesbrock SM, Marino MW, Hotamisligil GS. Protection from obesity-induced insulin resistance in mice lacking TNF-α function. Nature 389: 610–614, 1997 [DOI] [PubMed] [Google Scholar]
- 150.Van Assche FA, Holemans K, Aerts L. Fetal growth and consequences for later life. J Perinat Med 26: 337–346, 1998 [DOI] [PubMed] [Google Scholar]
- 151.van Straten EM, Bloks VW, Huijkman NC, Baller JF, Meer H, Lutjohann D, Kuipers F, Plosch T. The liver X-receptor gene promoter is hypermethylated in a mouse model of prenatal protein restriction. Am J Physiol Regul Integr Comp Physiol 298: R275–R282, 2010 [DOI] [PubMed] [Google Scholar]
- 152.van Straten EM, Huijkman NC, Baller JF, Kuipers F, Plosch T. Pharmacological activation of LXR in utero directly influences ABC transporter expression and function in mice but does not affect adult cholesterol metabolism. Am J Physiol Endocrinol Metab 295: E1341–E1348, 2008 [DOI] [PubMed] [Google Scholar]
- 153.van Straten E, van MH, Huijkman N, van Dijk TH, Baller JF, Verkade HJ, Kuipers F, Plosch T. Fetal liver X receptor activation acutely induces lipogenesis, but does not affect plasma lipid response to a high-fat diet in adult mice. Am J Physiol Endocrinol Metab 297: E1171–E1178, 2009 [DOI] [PubMed] [Google Scholar]
- 154.Varastehpour A, Radaelli T, Minium J, Ortega H, Herrera E, Catalano P, Hauguel-De Mouzon S. Activation of phospholipase A2 is associated with generation of placental lipid signals and fetal obesity. J Clin Endocrinol Metab 91: 248–255, 2006 [DOI] [PubMed] [Google Scholar]
- 155.Virtue S, Vidal-Puig A. Adipose tissue expandability, lipotoxicity and the metabolic syndrome–an allostatic perspective. Biochim Biophys Acta 1801: 338–349, 2010 [DOI] [PubMed] [Google Scholar]
- 156.Wakefield SL, Lane M, Schulz SJ, Hebart ML, Thompson JG, Mitchell M. Maternal supply of omega-3 polyunsaturated fatty acids alter mechanisms involved in oocyte and early embryo development in the mouse. Am J Physiol Endocrinol Metab 294: E425–E434, 2008 [DOI] [PubMed] [Google Scholar]
- 157.Waterland RA, Jirtle RL. Transposable elements: targets for early nutritional effects on epigenetic gene regulation. Mol Cell Biol 23: 5293–5300, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.White CL, Purpera MN, Morrison CD. Maternal obesity is necessary for programming effect of high-fat diet on offspring. Am J Physiol Regul Integr Comp Physiol 296: R1464–R1472, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Wolff GL, Kodell RL, Moore SR, Cooney CA. Maternal epigenetics and methyl supplements affect agouti gene expression in Avy/a mice. FASEB J 12: 949–957, 1998 [PubMed] [Google Scholar]
- 160.Xie Z, Li H, Wang K, Lin J, Wang Q, Zhao G, Jia W, Zhang Q. Analysis of transcriptome and metabolome profiles alterations in fatty liver induced by high-fat diet in rat. Metabolism 59: 554–560, 2010 [DOI] [PubMed] [Google Scholar]
- 161.Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, Sole J, Nichols A, Ross JS, Tartaglia LA, Chen H. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest 112: 1821–1830, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Yan X, Zhu MJ, Xu W, Tong JF, Ford SP, Nathanielsz PW, Du M. Up-regulation of toll-like receptor 4/nuclear factor-κB signaling is associated with enhanced adipogenesis and insulin resistance in fetal skeletal muscle of obese sheep at late gestation. Endocrinology 151: 380–387, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Yogev Y, Catalano PM. Pregnancy and obesity. Obstet Gynecol Clin North Am 36: 285–300, 2009 [DOI] [PubMed] [Google Scholar]
- 164.Yokota T, Kinugawa S, Hirabayashi K, Matsushima S, Inoue N, Ohta Y, Hamaguchi S, Sobirin MA, Ono T, Suga T, Kuroda S, Tanaka S, Terasaki F, Okita K, Tsutsui H. Oxidative stress in skeletal muscle impairs mitochondrial respiration and limits exercise capacity in type 2 diabetic mice. Am J Physiol Heart Circ Physiol 297: H1069–H1077, 2009 [DOI] [PubMed] [Google Scholar]
- 165.Yuan QX, Zhou JY, Teng LP, Liu CP, Guo J, Liu LJ, De W, Xu KF, Mao XD, Liu C. Intrauterine growth retardation leads to the functional change of insulin secretion in the newborn rats. Horm Metab Res 42: 491–495, 2010 [DOI] [PubMed] [Google Scholar]
- 166.Yudkin JS. Adipose tissue, insulin action and vascular disease: inflammatory signals. Int J Obes Relat Metab Disord 27, Suppl 3: S25–S28, 2003 [DOI] [PubMed] [Google Scholar]
- 167.Zambrano E, Bautista CJ, Deas M, Martinez-Samayoa PM, Gonzalez-Zamorano M, Ledesma H, Morales J, Larrea F, Nathanielsz PW. A low maternal protein diet during pregnancy and lactation has sex- and window of exposure-specific effects on offspring growth and food intake, glucose metabolism and serum leptin in the rat. J Physiol 571: 221–230, 2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Zambrano E, Martinez-Samayoa PM, Bautista CJ, Deas M, Guillen L, Rodriguez-Gonzalez GL, Guzman C, Larrea F, Nathanielsz PW. Sex differences in transgenerational alterations of growth and metabolism in progeny (F2) of female offspring (F1) of rats fed a low protein diet during pregnancy and lactation. J Physiol 566: 225–236, 2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Zeisel SH. Importance of methyl donors during reproduction. Am J Clin Nutr 89: 673S–677S, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Zhang J, Zhang F, Didelot X, Bruce KD, Cagampang FR, Vatish M, Hanson M, Lehnert H, Ceriello A, Byrne CD. Maternal high fat diet during pregnancy and lactation alters hepatic expression of insulin like growth factor-2 and key microRNAs in the adult offspring (Abstract). BMC Genomics 10: 478, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Zhu MJ, Han B, Tong J, Ma C, Kimzey JM, Underwood KR, Xiao Y, Hess BW, Ford SP, Nathanielsz PW, Du M. AMP-activated protein kinase signalling pathways are down regulated and skeletal muscle development impaired in fetuses of obese, over-nourished sheep. J Physiol 586: 2651–2664, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]


